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Project Overview
A content producer publishing training and marketing videos wanted to release them in several languages without booking voice actors and studio time for every update. Manual localisation was slow, costly and fell behind whenever the source videos changed.
ProsperaSoft built an AI localisation pipeline that transcribes the original audio, translates the script, generates voice-over in each target language with consistent voices, aligns timing, produces subtitles and routes everything through a review step before publishing.
Core Features
- Automatic Transcription: speech-to-text with speaker labels and timestamps as the starting point
- Translation with Glossaries: machine translation guided by product glossaries and style rules
- AI Voice-Over: a consistent voice per speaker and language with pronunciation control
- Review Workflow: reviewers correct scripts and approve audio before the final render
Client Challenges
- Cost of Studio Dubbing: recording every language with voice actors limited how much content could be localised
- Frequent Updates: small changes to source videos meant re-recording whole sections
- Timing: translated speech is often longer or shorter than the original and must fit the video
- Consistency: the same presenter needed to sound the same across videos and languages
Key Highlights
One Source, Many Languages:
- Scripts, audio and subtitles generated together
- New languages added through configuration
A single pipeline produces every target language.
Fast Updates:
- Segment-level processing and caching
- Quick turnaround when source content changes
Changed segments are regenerated, not whole videos.
Quality Control:
- Editable transcripts and translations
- Approval before audio is mixed and published
Humans stay in the loop where it matters.
Scalable Processing:
- Parallel rendering with FFmpeg workers
- Cloud storage for source and output media
Queue-based workers process large batches.
Automating Localisation Without Losing Quality
Solution Highlights
Best Practices Integrated
Results & Benefits
- Speech Recognition: Whisper-based transcription with speaker diarization and word timestamps
- Voice Generation: ElevenLabs voices per speaker with SSML-style pronunciation and pacing control
- Media Processing: FFmpeg pipelines for audio mixing, ducking, subtitle burn-in and rendering
- Glossaries: product names and terms translated and pronounced consistently
- Consent: voices used under documented permission and platform terms
- Traceability: every output linked to its source version, script and reviewer
- More Content Localised: localising a video became a routine step instead of a separate production
- Faster Releases: language versions can be published together with the original
- Lower Effort per Update: changes to the source no longer require full re-recording
Solution Highlights
- Speech Recognition: Whisper-based transcription with speaker diarization and word timestamps
- Voice Generation: ElevenLabs voices per speaker with SSML-style pronunciation and pacing control
- Media Processing: FFmpeg pipelines for audio mixing, ducking, subtitle burn-in and rendering
Best Practices Integrated
- Glossaries: product names and terms translated and pronounced consistently
- Consent: voices used under documented permission and platform terms
- Traceability: every output linked to its source version, script and reviewer
Results & Benefits
- More Content Localised: localising a video became a routine step instead of a separate production
- Faster Releases: language versions can be published together with the original
- Lower Effort per Update: changes to the source no longer require full re-recording
Technology Stack:
The pipeline combines speech AI, translation and media engineering. Related services: AI audio and video generation and AI for media and entertainment.
Transcription with timestamps and speaker labels.
Glossary-guided translation of scripts.
Multilingual AI voice generation.
Audio mixing, subtitles and video rendering.
Pipeline orchestration and workers.
Batch job distribution.
Media storage.
Review and approval interface.
Whisper:
Transcription with timestamps and speaker labels.
LLM Translation:
Glossary-guided translation of scripts.
ElevenLabs:
Multilingual AI voice generation.
FFmpeg:
Audio mixing, subtitles and video rendering.
Python:
Pipeline orchestration and workers.
Redis Queue:
Batch job distribution.
AWS S3:
Media storage.
React:
Review and approval interface.
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